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Parallel genetic algorithms: a useful survey
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
Empirical investigation: performance and power‐consumption based dual‐level model for exascale computing systems
Exascale computing systems (ECS) are anticipated to perform at Exaflop speed (1018
operations per second) using power consumption< 20 MW. This ultrascale performance …
operations per second) using power consumption< 20 MW. This ultrascale performance …
[PDF][PDF] A Predictive Analysis of Retail Sales Fore-casting using Machine Learning Techniques
M Sajawal, S Usman, HS Alshaikh… - … Research Journal of …, 2022 - researchgate.net
In a retail industry, sales forecasting is an important part related to supply chain
management and operations between the retailer and manufacturers. The abundant growth …
management and operations between the retailer and manufacturers. The abundant growth …
Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste
This opinion paper describes the major coupled T (Thermal)-H (Hydro)-M (Mechanical)-C
(Chemical) processes in geological repository systems and the frontier of related model …
(Chemical) processes in geological repository systems and the frontier of related model …
Agile framework to transform traditional team
With the increasing computing power of processors, more complex web and mobile
applications are being developed by the developers. To meet the consistent high standard …
applications are being developed by the developers. To meet the consistent high standard …
[PDF][PDF] Comparative analysis of machine learning techniques for predicting air pollution
F Akram, S Usman, MU Ashraf - Lah. Garri. Univ. Res. Jl. Comp. Sci. Info …, 2022 - core.ac.uk
The modern and motorized way of life has cultured air pollution. Air pollution has become
the biggest rival of robust living. This situation is becoming more lethal in develo** …
the biggest rival of robust living. This situation is becoming more lethal in develo** …
Performance and energy efficiency evaluation for HPC applications in heterogeneous architectures
V Klôh, D Yokoyama, A Yokoyama… - 2018 Symposium on …, 2018 - ieeexplore.ieee.org
This work aims to analyze the aspects related to the performance, without losing focus on
the energy efficiency of the applications. To this end, we evaluated a representative set of …
the energy efficiency of the applications. To this end, we evaluated a representative set of …
A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions
FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Challenges of using live process migration in distributed exascale systems
Z Sohrabi, EM Khaneghah - Azerbaijan Journal of High …, 2020 - dspace.asoiu.edu.az
Virtual machine-based process migrator mechanisms have the potential to be used in
distributed exascale systems due to their ability to execute process execution and support …
distributed exascale systems due to their ability to execute process execution and support …
[PDF][PDF] A Machine Learning Based Approach for the Detection of DDoS Attacks on Internet of Things Using CICDDoS2019 Dataset-PortMap
In today's technological era, the Internet has become ubiquitous, playing a vital role in our
daily lives. With the exponential growth of IoT innovation, millions of interconnected IoT …
daily lives. With the exponential growth of IoT innovation, millions of interconnected IoT …